The Chernoff-Hoeffding bounds are fundamental probabilistic tools. An elementary approach is presented to obtain a Chernoff-type upper-tail bound for the number of prime factors of a random integer in {1, 2, . . . , n}. The method illustrates tail bounds in negatively-correlated settings. Key words: Chernoff bounds, probabilistic number theory, primes, tail bounds, dependent random variables, randomized algorithms